Saturday, February 1, 2014

STUDY OF PSYCHIATRIC MORBIDITY OF PATIENTS ATTENDING FREE MENTAL HEALTH CHECK UP CAMP, SIMARA,BARA DISTRICT OF NEPAL Dr C P Sedain Department of psychiatry Chitwan Medical College, Bharatpur,Chitwan,Nepal



Abstract
Introduction:
Maryknoll  Nepal, has been running  community mental health clinics different part of the country. The aim of the  study was  to find out psychiatric morbidity  of patients   attending   Maryknoll  free check up clinic Simara, Bara district of  Nepal,.
Methods:            
 A prospective cross-sectional   study comprised of all consecutive patients attending  maryknoll  free check up clinic Simara,Bara district, Nepal. All the patients  attending  the free clinics were taken as case. The study was performed  in  the month  January 2009. Demographic data and disease profile of 87 patients attending the  clinic were analyzed. The ratios and proportions were used for statistical analysis.



Results:
 Data in Simara  free mental health clinic shows  that  the male to female ratio was  0.55 :0.44.The  age group 30-39(N-25, 28.74%) followed by age group 20-29 (N-19, 21.84%) was the commonest. The farmer were (N-49, 56.31 %) the most common  visitor. The highest number of cases were depressive disorder (N-16,18.93 %) followed by mania/BPAD (N-14, 16.09 %) and  Schizophrenia(N-12, 13.73 %).
Conclusions
Most of Patients attended Simara free mental health clinic, Simara Bara district  of Nepal  are farmer  of  age group 20-40 .   The commonest incidence of psychiatric illness attending the free clinic are depressive disorder and mania/BPAD.
Key words: diagnosis profile, socio-demographic characteristics, BPAD




Correspondence
Dr.C P Sedain
Department of Psychiatry
Chitwan Medical College Bharatpur ,Chitwan,Nepal
Email-drcpsedai@yahoo.com
Phone:9855056666




Introduction
Maryknoll Nepal,a local NGO ,has been working in the area of mental health since 1991, concerning mobile community  mental health clinics in different region of the country. Besides  community mobile clinics  it is working psychosocial rehabilitation, public awareness programme,day care progamme and home visit programme.The mobile  health clinics tries to cover urban as well as remote  area of Nepal. This types of programme helps that people in the remote area , where mental health facility is not available are expected to benefit benefit. This study was done in free mental health check up camp Simara, Bara district  of Nepal, where regular monthly free check up of mentally ill people has been started for last five year.
Studies regarding psychiatric morbidity are scare in Nepal. The pattern of psychiatric illness has been described to similar across the country. Regmi et al. found  that  majority of cases were neurotic stress related  and somatoform  disorder (42.46%) followed by mood disorder(37.23%). Still that the culture plays an important role on morbidity pattern in the community is known as an acknowledged fact. Thus the studies in this aspect becomes important, mainly to formulate any plan regarding mental illness 1. There are few studies on mental illness e.g. by Nepal et al , Wright , Shrestha  and Sharma . About half of the patients in all studies were of the age group 20-40 years and more than half were males. However the diagnostic distribution differed among the studies. Nepal et al  found that the patients mainly suffered from neurotic and related disorders. Majority of the patients in Wright’s study were epileptic (32℅), Shrestha found most of the patients suffering from psychosis (63℅), while Sharma described as many as 41℅ suffered from depression. The inconsistencies may be because of the difference in the setup, population studied and the criteria used. Shrestha  had studied the patients attending a Mental Hospital valley; Sharma  conducted the study in private clinic setup in Pokhara, whereas Wright studied the patients attending the health posts in a rural community. Thus despite the inconsistencies in the diagnostic distribution, the findings in the different setup have their own importance2. The Quality Adjusted Life Year(QALY) losses  in  primary care is highest is  in pain related physical condition   followed by mood disorder3.
Major depression is the most common psychiatric problem seen in primary care. Prevalence figures for major depression vary substantially between surveys 4. The reasons for increased rates among women are uncertain. Depression is more common among the unemployed; divorced, all medical illness and their treatment can act as non-specific stress, which may lead to mood disorder in predisposed subject. The present study was conducted to find out psychiatric morbidity  of patients   attending   Maryknoll  free check up clinic Simara, Bara district of  Nepal,.

 

Methods

           A prospective cross-sectional   study comprised of all consecutive patients attending  maryknoll  free check up clinic Simara,Bara district, Nepal. All the patients  attending  the free clinics were taken as case.   The study was performed  January 2009.A brief explanation about the study was offered to the subjects and written or verbal consent was obtained either from them or guardians. A continuous sequential number was given to each subject and available necessary information was kept confidential in a separate file. The socio demographic profile which contains name, age, sex, caste, address, marital status, occupation, and other information also filled. The diagnosis was done on the basis of I.C.D. - 10 diagnostic research criteria 5.Data from previous  months  also taken for make study more easy. To take more information previous record  of the camp also studied. Data were entered in to a computer and analyzed using  Statistical Package for Social Studies (SPSS) software.

Results


A total of 87 patients were included in the study. Out of them male were 48(55.17%) and female were 39 (44.83%). Data shows highest numbers of patients were age group 30-39(N-25, 28.74%) followed by age group 20-29 (N-19, 21.84%). Data shows highest numbers of patient were married (N-59, 67.82%) and most of cases were farmer (N-49, 56.31 %).Distribution on the basis of  ICD 10 diagnosis, highest number of cases were depressive disorder  (N-16,18.93 %) followed by mania/BPAD (N-14, 16.09 %) and  Schizophrenia(N-12, 13.73 %).Similarly seizure disorder (N-9, 10.34 %), and ,somatoform disorder (N-7, 8.05 %)., alcohol use disorder (N-6, 6.09 %).anxiety disorder (N-6, 6.09 %), conversion disorder (N-5, 5.75 %) and tension/migraine headache (N-4, 4.60%).  






Table 1


DISTRIBUTION ON THE BASIS OF AGE GROUP


AGE
N



%
10-19
12
13.73
20-29
19
21.84
30-39
25
28.74
40-49
18
20.69
50-59
7
8.05
60-69
4
4.58
70-79
2
2.30
TOTAL
87
100



Table 2


DISTRIBUTION ON THE BASIS OF SEX

SEX
CASE


NO
%
MALE
48
55.17
FEMALE
39
44.83
TOTAL
87
100



Table –3

DISTRIBUTION ON THE BASIS OF MARIETAL STATUS






MARITAL STATUS
N
%
MARRIED
59
67.82
UNMARRIED
23
26.44
WIDOWED
5
5.75
TOTAL
87
100




 

 

 

 

 

 

 

 

 

 

 











Table-4

DISTURIBUTION ON THE BASIS OF OCCUPATION

OCCUPATION
N
%

FARMER
49
56.31
BUSINESSMAN
3
3.45
SERVICE HOLDER
8
9.20
HOUSEWIFE
         9
10.34
LABOUR
7
8.05
UNEMPLOYED
7
8.05
STUDENT
4
4.60
TOTAL
87
100









Table-5

DISTURIBUTION ON THE BASIS OF DIAGNOSIS (ICD-10 DCR)


DIAGNODIS-ICD,10

MALE
FEMALE
TOTAL
%
DEPRESSIVE DISORDER(F32)

7
9
16
18.39

SCHIZOPHRENIA (F20)

6
6
12
13.73

SEIZURE DISORDER (G40)

4
5
9
10.34

MANIA/BPAD (F30-31)

8
6
14
16.09

ANXIETY DISORDER (F4O-41)

4
2
6
6.97
ALCOHAL USE DISORDER (F10)

5
1
6
6.90
SUBSTANCE USE DISORDER (F11-19)

3
0
3
3.45
CONVERSION DISORDER (F44)

0
5
5
5.75

DEMENTIA (F00-03)

1
0
1
1.15
PTSD (F43)

1
0
1
1.15
SOMATOFORM DISORDER (F45)

4
3
7
8.05

SLEEP DISORDER (F51)

1
0
1
1.15
MENTAL RETARDATION (F70-79)

1
0
1
1.15
OCD(F42)

1
0
1
1.15
TENSION/MIGRAIN HEADACHE (G43-44)

2
2
4
4.60
TOTAL

48
39
87
100




Discussion:
 The life style is becoming complex day by day, thus the patients consulting the psychiatrist is increasing than previous decade. Depressive disorder is the commonest psychiatric disorders worldwide. A review of anxiety disorder surveys in different countries found  that average lifetime prevalence estimates of 16.6%, with women having higher rates on average6.A review of mood disorder surveys in different countries found that  lifetime rates of 6.7% for major depressive disorder (higher in some studies, and in women) and 0.8% for Bipolar I disorder  In the United States the frequency of disorder is: anxiety disorder (28.8%), mood disorder (20.8%), impulse-control disorder (24.8%) or substance use disorder (14.6%)7.A 2004 cross-Europe study found that approximately one in four people reported meeting criteria at some point in their life for at least one of the DSM-IV  psychiatric disorders assessed, which included mood disorders (13.9%), anxiety disorders (13.6%) or alcohol disorder (5.2%). Approximately one in ten met criteria  within a 12-month period. Women and younger people of either gender showed more cases of disorder. A 2005 review of surveys in 16 European countries found that 27% of adult Europeans are affected by at least one mental disorder in a 12 month period 8.

 Psychiatric disorder like schizophrenia, BPAD, alcohol & drug addiction problems are also equally challenging to us. A ten-year perspective study in Zurich,  estimated the life time prevalence of major depression is about 16 percent. The rates of depressive disorder seems to be higher in industrialized countries9. They are consistently increased in woman across different cultures. Nepal et al Regmi et al reported that patients attending to psychiatric OPD of TUTH were commonly neurotic and harboaring stress related disorder2. Similarly Sharma’s study shows 41℅ patients were depressive disorder only. Pokhrel

et al reported that mood disorder (35℅) followed by schizophrenia and related disorder (28℅) and neurotic and stress related disorder (17℅)  respectively3. The percentage distribution of depressive illness reported by Sharma is similar to our finding. Major depression is the commonest psychiatric problem seen in primary care center. Depression is more common among the unemployed and divorced people. If we look at our finding the depressive illness was observed among the patient of SLC and intermediate education level. All medical illnesses and their treatment can act as non-specific stress factor which may lead to mood disorder in predisposed subject. Prevalence of psychiatric disorders among general hospital population is higher than in community.

Patients with psychiatric disorder do present with symptoms of medical illnesses. Psychiatric disorders can be the consequence or coexist with medical illness.  Many previous studies have shown that psychiatric disorders such as depressive disorder, anxiety disorder, drug abuse, organic mental disorders and somatoform disorder could be encountered approximately in 20-80 percent of in-patients in any of the general hospitals worldwide. About 20% of our patient admitted in medical and gynecology departments, especially female patient, have some psychiatric problems in the form of mood disorder and         somatoform       disorder.
Data of current study shows  that the  distribution on the basis of diagnosis, highest number of cases were depressive disorder  (N-16,18.93 %) followed by mania/BPAD (N-14, 16.09 %) and  Schizophrenia(N-12, 13.73 %).Similarly seizure disorder (N-9, 10.34 %), and ,somatoform disorder (N-7, 8.05 %)., alcohol use disorder (N-6, 6.09 %).anxiety disorder (N-6, 6.09 %), conversion disorder (N-5, 5.75 %) and tension/migraine headache (N-4, 4.60%). This result correlates many previous community studies . 

Conclusions
The   Maryknoll  free mental   health check up clinic Simara, Bara  shows depressive disorder is the commonest psychiatric disorder. Similarly other disorders include  mania/BPAD, schizophrenia ,    seizure disorder, somatoform disorder ,alcohol use disorder, anxiety disorder and conversion disorder. Most of the patients are farmer  of  age group 20-40 .


REFERENCES
 
  1. Pokhrel et al. Sociodemographic characteristics and diagnostic profile of patients admitted in psychiatric ward of TUTH, Katmandu. Nepalese Journal of psychiatry 1992;(2):13-17.
2.         Regmi et al. Studies of sociodemographic characteristics and diagnostic profile in psychiatric outpatient of TUTH. Nepalese Journal of psychiatry 1999; 1: 26-33.

3.       Fernandz,A.,Sammeno.J.B.Printo-Meza.A.,Luciano,V.J.etal, Burden of chronic condition and mental disorder  in primary care, British jurnal of psychiatry,2010;196:302-309.


  1. Smith AL,Weissman,M.M,Smith. Cross national epidemiology of major depression and bipolar disorder. Journal of American medical association. 1992;
5.       World Health Organization. International Classification of disease and related heath problems, Tenth revision: Clinical description and diagnostic guideline; Geneva: World Health Organization. 1992
  1. Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE . "Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication". Arch. Gen. Psychiatry  2005;62 (6): 593–602.
7.       Waraich P, Goldner EM, Somers JM, Hsu L . "Prevalence and incidence studies of mood disorders: a systematic review of the literature". Can J Psychiatry 2004; 49: (2): 124–38.. 
8 Alonso J, Angermeyer MC, Bernert S, et al.. "Prevalence of mental disorders in Europe: results from the European Study of the Epidemiology of Mental Disorders (ESEMeD) project". Acta Psychiatr Scand Suppl  2004;109: (420): 21–7. 
9        Angst. J. How recurrent and predictable is depressive illness. In long term treatment of depression, eds S. Montgomery and F Rouillon.Wiley, Chichester; 1992:1-3

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